Improving Fractional Vegetation Cover Estimation With Shadow Effects Using High Dynamic Range Images-Reference-Cited by-同舟云学术

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Improving Fractional Vegetation Cover Estimation With Shadow Effects Using High Dynamic Range Images

Published:2022 Issue: Volume:15 Page:1701-1711
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Chen Wei^ORCID,Wang Zhe,Zhang Xuepeng,Li Guangchao,Zhang Fengjiao,Yang Lan,Tian Haijing,Zhou Gongqi

Funder

Beijing Natural Science Foundation

Guangxi Key Research and Development Program

National Natural Science Foundation of China

Yue Qi Young Scholar Project

CUMTB

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09705163.pdf?arnumber=9705163

Reference54 articles.

1. Visual Perception: Lightness in a High-Dynamic-Range World

2. Colour based detection of volunteer potatoes as weeds in sugar beet fields using machine vision

3. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Med Image Comput Comput -Assist Interv,2015

4. Defoliation estimation of forest trees from ground-level images

5. Deep learning in agriculture: A survey

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Double-Exposure Algorithm: A Powerful Approach to Address the Accuracy Issues of Fractional Vegetation Extraction under Shadow Conditions;Applied Sciences;2024-09-01

2. A Polarized-Spectrum-Based Vegetation Index to Improve Vegetation Health Detection Accuracy by Removing Shadows;2024

3. Extracting illuminated vegetation, shadowed vegetation and background for finer fractional vegetation cover with polarization information and a convolutional network;Precision Agriculture;2023-12-13

4. Approach for Monitoring Spatiotemporal Changes in Fractional Vegetation Cover Through Unmanned Aerial System-Guided-Satellite Survey: A Case Study in Mining Area;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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